Mobile logistics hubs prepositioning for emergency preparedness and response in Nepal

IF 3.2 Q2 MANAGEMENT
R. Maharjan, Y. Shrestha, Biplob Rakhal, S. Suman, J. Hulst, S. Hanaoka
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引用次数: 6

Abstract

PurposeThe purpose of this study is to develop a methodology which amalgamates quantitative and qualitative approaches to determine the best placement of mobile logistics hubs (MLH) to be established in different parts of Nepal as a part of real-life project, “Augmentation of National and Local-Level Emergency Logistics Preparedness in Nepal” (2017–2020), implemented by the World Food Programme in cooperation with the Government of Nepal.Design/methodology/approachThe study develops a methodology using a combination of a modified version of the maximal covering location problem (MCLP) and focus group discussion. The MCLP model is used to determine the optimal number and spatial location of MLHs, and focus group discussion is used to identify the five first-priority strategic MLH locations using expert knowledge.FindingsThe authors identify the five first-priority locations for establishing MLHs using an amalgamation of quantitative approach (mathematical model) and qualitative approach (focus group discussion). By amalgamating mathematical model with expert knowledge, findings acceptable to a wide range of stakeholders are obtained. The focus group discussion helps to pinpoint the location of MLHs to city-level granularity which is otherwise impossible with data available on hand.Research limitations/implicationsAlthough multiple experts’ judgements were obtained via focus group discussion, subjectivity and possible bias is inevitable. Overall, the quantitative results of the study are purely based on the data available during the study period; therefore, having updated data could possibly improve the quality of the results.Originality/valueThis study is the first of its kind that uses an amalgamation of mathematical model and expert knowledge to determine the strategic locations of MLHs and has been successful to an extent that the selected locations have been vetted by the government of Nepal for establishing MLHs and are undergoing implementation in real life. This study also considers multiple disaster scenarios and employs the concepts of human development, disaster risk and transportation accessibility to reflect Nepal's socioeconomic, geo-climatic and topographical features.
尼泊尔为应急准备和响应预先部署移动物流枢纽
目的本研究的目的是开发一种将定量和定性方法相结合的方法,以确定将在尼泊尔不同地区建立的移动物流中心(MLH)的最佳位置,作为现实项目“加强尼泊尔国家和地方应急物流准备”(2017–2020)的一部分,由世界粮食计划署与尼泊尔政府合作实施。设计/方法/方法该研究结合最大覆盖位置问题(MCLP)的修改版本和焦点小组讨论开发了一种方法。MCLP模型用于确定MLH的最佳数量和空间位置,焦点小组讨论用于利用专家知识确定五个第一优先战略MLH位置。研究结果作者采用定量方法(数学模型)和定性方法(焦点小组讨论)相结合的方法,确定了建立MLH的五个第一优先位置。通过将数学模型与专家知识相结合,获得了广泛利益相关者可以接受的结果。焦点小组讨论有助于将MLH的位置精确定位到城市级别的粒度,否则,在现有数据的情况下,这是不可能的。研究局限性/含义尽管通过焦点小组讨论获得了多位专家的判断,但主观性和可能的偏见是不可避免的。总体而言,研究的定量结果完全基于研究期间的可用数据;因此,更新数据可能会提高结果的质量。独创性/价值这项研究是第一项将数学模型和专家知识相结合来确定MLH的战略位置的研究,在一定程度上取得了成功,尼泊尔政府已经对选定的位置进行了审查,以建立MLH,并正在现实生活中实施。本研究还考虑了多种灾害情景,并采用了人类发展、灾害风险和交通可达性的概念,以反映尼泊尔的社会经济、地理气候和地形特征。
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来源期刊
CiteScore
6.40
自引率
20.00%
发文量
20
期刊介绍: The Journal of Humanitarian Logistics and Supply Chain Management (JHLSCM) is targeted at academics and practitioners in humanitarian public and private sector organizations working on all aspects of humanitarian logistics and supply chain management. The journal promotes the exchange of knowledge, experience and new ideas between researchers and practitioners and encourages a multi-disciplinary and cross-functional approach to the resolution of problems and exploitations of opportunities within humanitarian supply chains. Contributions are encouraged from diverse disciplines (logistics, operations management, process engineering, health care, geography, management science, information technology, ethics, corporate social responsibility, disaster management, development aid, public policy) but need to have a logistics and/or supply chain focus. JHLSCM publishes state of the art research, utilizing both quantitative and qualitative approaches, in the field of humanitarian and development aid logistics and supply chain management.
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